Optimal control and guidance of homing and docking tasks using an autonomous underwater vehicle
In this paper, the simulation results of a control and guidance strategy for homing and docking tasks using an autonomousunderwater vehicle are presented.
Jantapremjit, Pakpong, Wilson, P. A.
core +1 more source
Studying Mixed Precision Techniques For The Solution Of Algebraic Riccati Equations
We evaluate different algorithms and the use of a mixed-precision approach for the solution of Algebraic Riccati Equations (AREs). The mixed-precision method obtains an approximation to the solution using single-precision arithmetic and then, this approximation is improved via a cheap iterative refinement.
Benner, P. ; https://orcid.org/0000-0003-3362-4103 +3 more
openaire +3 more sources
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Set of Oscillation Criteria for Second Order Nonlinear Forced Differential Equations with Damping
By employing a generalized Riccati technique and an integral averaging technique, some new oscillation criteria are established for the second order nonlinear forced differential equation with damping.
Ambarka Abdalla Salhin +3 more
doaj +1 more source
Oscillatory behavior of second-order nonlinear neutral differential equations
We shall consider a class of second-order nonlinear neutral differential equations. Some new oscillation criteria are established by using the Riccati transformation technique. One example is given to show the applicability of the main results.
Jun Liu, Xi Liu, Yuanhong Yu
doaj +1 more source
Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley +1 more source
A reduction technique for Generalised Riccati Difference Equations
This paper proposes a reduction technique for the generalised Riccati difference equation arising in optimal control and optimal filtering. This technique relies on a study on the generalised discrete algebraic Riccati equation. In particular, an analysis on the eigen- structure of the corresponding extended symplectic pencil enables to identify a ...
Ferrante, Augusto +1 more
openaire +2 more sources
An accelerated technique for solving one type of discrete-time algebraic Riccati equations [PDF]
Algebraic Riccati equations are encountered in many applications of control and engineering problems, e.g., LQG problems and $H^\infty$ control theory. In this work, we study the properties of one type of discrete-time algebraic Riccati equations. Our contribution is twofold.
Matthew M. Lin, Chun-Yueh Chiang
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A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
An approximation method for the stabilizing solution of the Hamilton-Jacobi equation for integrable systems using Hamiltonian perturbation theory [PDF]
In this report, a method for approximating the stabilizing solution of the Hamilton-Jacobi equation for integrable systems is proposed using symplectic geometry and a Hamiltonian perturbation technique.
Sakamoto, Noboru +10 more
core +1 more source

